Prediction and proactivity in real-time interactive music systems


Autoria(s): Brown, Andrew R.; Gifford, Toby
Contribuinte(s)

Pasquier, Phillippe

Eigenfeldt, Arne

Bown, Oliver

McCaig, Graeme

Data(s)

2013

Resumo

We advocate for the use of predictive techniques in interactive computer music systems. We suggest that the inclusion of prediction can assist in the design of proactive rather than reactive computational performance partners. We summarize the significant role prediction plays in human musical decisions, and the only modest use of prediction in interactive music systems to date. After describing how we are working toward employing predictive processes in our own metacreation software we reflect on future extensions to these approaches.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/64500/

Publicador

AAAI Press

Relação

http://eprints.qut.edu.au/64500/1/Brown%26Gifford_2013-Prediction_and_Proactivity-prepress.pdf

Brown, Andrew R. & Gifford, Toby (2013) Prediction and proactivity in real-time interactive music systems. In Pasquier, Phillippe, Eigenfeldt, Arne, Bown, Oliver, & McCaig, Graeme (Eds.) Musical Metacreation : Papers from the 2013 AIIDE Workshop, AAAI Press, Northeastern University, Boston, Mass, pp. 35-39.

Direitos

Copyright 2013 [please consult the author]

Fonte

Creative Industries Faculty

Palavras-Chave #190407 Music Performance #generative #prediction #music #algorithmic #creation
Tipo

Conference Paper